VisionCpp namespace. More...

Namespaces
	custom
	User defined functionality for the kernel.

	internal
	Internal implementations.

	memory_type
	defines terminal nodes that can be used

	pixel
	Contains VisionCpp pixel type definitions.

	policy
	defines Executor policies available

	scope
	Scope is used to define the scope of the memory on the device.

Classes
struct	OP_BGRToRGB
	This functor reorders channels BGR to RGB. More...

struct	OP_F32C3ToU8C3
	This functor performs conversion from [0.0f, 1.0f] to [0, 255]. More...

struct	OP_HSVToRGB
	functor converts HSV(H:[0.0f, 360.f], S:[0.0f, 1.0f] V: [0.0f, 1.0f]) to color RGB(R:[0.0f, 1.0f], G:[0.0f, 1.0f], B:[0.0f, 1.0f]) More...

struct	OP_HSVToU8C3
	This functor allows displaying HSV. More...

struct	OP_RGBToBGR
	This functor reorders channels BGR to RGB. More...

struct	OP_RGBToGREY
	This functor performs RGB to GREY convertion following rule: GREY <- 0.299f * R + 0,587f * G + 0.114 * B. More...

struct	OP_RGBToHSV
	Functor converts RGB ( R: 0.0f..1.0f, G: 0.0f..1.0f, B: 0.0f..1.0f) to HSV ( H: 0.0f..360.f, S: 0.0f..1.0f V: 0.0f..1.0f ) color space. More...

struct	OP_U8C3ToF32C3
	This functor performs conversion from [0, 255] to [0.0f, 1.0f]. More...

struct	OP_Filter2D
	Applying the general convolution for 3 channel Image. More...

struct	OP_Filter2D_One
	Applying the general convolution for 1 channel Image. More...

struct	OP_GaussianBlur3x3
	applying the Gaussian blur 3x3 More...

struct	OP_SepFilterRow
	Separable filter for rows. More...

struct	OP_SepFilterCol
	Separable filter for cols. More...

struct	OP_SepGaussRow3
	Separable filter for rows. More...

struct	OP_SepGaussCol3
	Separable filter for cols. More...

struct	OP_DownsampleAverage
	Downsampling filter using average technique Other filters could be added for different numbers of channels. More...

struct	OP_DownsampleClosest
	Downsampling filter using closest technique. More...

struct	OP_AbsSub
	this functor uses the sycl::fabs to return the difference More...

struct	OP_Add
	This functor adds two pixels. More...

struct	OP_AniDiff_Grey
	This functor applies anisotropic diffusion for one channel. More...

struct	OP_AniDiff
	This functor applies anisotropic diffusion for 3 channels. More...

struct	OP_Div
	This functor divides two matrices element-wise. More...

struct	OP_FloatToF32C3
	It replicates one channel to 3 channels. More...

struct	OP_FloatToU8C1
	It converts float to uchar converting [0.0f, 1.0f] to [0, 255]. More...

struct	OP_U8C1ToFloat
	It converts uchar to float converting range [0, 255] to [0.0f, 1.0f]. More...

struct	OP_FloatToUChar
	It converts float to uchar. More...

struct	OP_Median
	This functor implements a median filter. More...

struct	OP_Merge2Chns
	This functor merges 2 matrices into one matrix of 2 channels. More...

struct	OP_Mul
	This functor implements an element-wise matrix multiplication. More...

struct	OP_PowerOf2
	This functor implements the power of 2 of one matrix. More...

struct	OP_Scale
	Scales the pixel value of an image by a factor. More...

struct	OP_Sub
	This functor subtracts 2 images. More...

struct	OP_Thresh
	Implements a binary threshold. More...

struct	OP_Broadcast
	This functor sets the pixel to the value passed in. More...

struct	OP_ScaleChannelZero
	This custom functor changes 0 channel by factor passed via float f. More...

struct	OP_ScaleChannelOne
	This custom functor changes 1 channel by factor passed via float f. More...

struct	OP_ScaleChannelTwo
	This custom functor changes 2 channel by factor passed via float f. More...

struct	OP_CVBGRToRGB
	This node is a utility node that does a conversion from cv::Mat ( unsigned char storage; channel order BGR ) to float with order of RGB normalise from opencv format to VisionCpp internal format [0, 255] to [0.0f, 1.0f]. More...

struct	OP_RGBToCVBGR
	This node is a utility node that does a conversion from float with order of RGB to cv::Mat ( unsigned char storage; channel order BGR ) denormalise from VisionCpp base format ( F32C3 ) to opencv 8UC3 (three channel unsigned char) More...

struct	OP_GREYToCVBGR
	float between [0.0f, 1.0f] to [0, 255] One channel GREY ( float ) is going to be converted to one channel cv::Mat More...

Enumerations
enum class	backend { sycl , size }

enum class	device { cpu , gpu , host , size }

Functions
template<typename Expr >
auto	extract_accessors (cl::sycl::handler &cgh, Expr e) -> decltype(internal::ExtractAccessor< Expr::ND_Category, Expr >::getTuple(cgh, e))

template<bool ExecPolicy, size_t LC, size_t LR, size_t LCT, size_t LRT, typename Expr , typename DeviceT >
void	execute (Expr &expr, const DeviceT &dev)
	execute function is called by user in order to execute an expression template parameters: More...

template<bool ExecPolicy, typename Expr , typename DeviceT >
void	execute (Expr &expr, const DeviceT &dev)
	special case of the execute function with default value for local memory and workgroup size template parameters: More...

template<typename Fltr2DOP , typename DownSmplOP , size_t Depth, typename RHS , typename Fltr2D >
auto	pyramid_down (RHS rhs, Fltr2D fltr2D) -> internal::PyramidAutomemGen< internal::LocalBinaryOp< Fltr2DOP, typename RHS::OutType, typename Fltr2D::OutType >, internal::LocalUnaryOp< DownSmplOP, typename RHS::OutType >, RHS, Fltr2D, RHS::Type::Cols, RHS::Type::Rows, RHS::Type::LeafType, 1+internal::tools::StaticIf<(RHS::Level > Fltr2D::Level), RHS, Fltr2D >::Type::Level, Depth >
	pyramid_auto_generate More...

template<typename COP_C , typename COP_R , typename ROP , size_t Depth, typename RHS , typename SepFilterCol , typename SepFilterRow , typename... Params>
auto	pyramid_down (RHS rhs, SepFilterCol spFltrCol, SepFilterRow spFltrRow) -> internal::PyramidAutomemSep< internal::LocalBinaryOp< COP_C, typename RHS::OutType, typename SepFilterCol::OutType >, internal::LocalBinaryOp< COP_R, typename RHS::OutType, typename SepFilterRow::OutType >, internal::LocalUnaryOp< ROP, typename RHS::OutType >, RHS, SepFilterCol, SepFilterRow, RHS::Type::Cols, RHS::Type::Rows, RHS::Type::LeafType, 1+RHS::Level, Depth >
	pyramid_auto_generate More...

template<typename OP , size_t Cols, size_t Rows, size_t LeafType, typename RHS >
auto	global_operation (RHS rhs) -> internal::RDCN< internal::GlobalUnaryOp< OP, typename RHS::OutType >, RHS, Cols, Rows, LeafType, 1+RHS::Level >
	template deduction function for RDCN when it is used for GlobalNeighbourOP. More...

template<typename OP , size_t Cols, size_t Rows, size_t LeafType, typename RHS >
auto	neighbour_operation (RHS rhs) -> internal::RDCN< internal::LocalUnaryOp< OP, typename RHS::OutType >, RHS, Cols, Rows, LeafType, 1+RHS::Level >
	template deduction function for RDCN when it is used for NeighbourOP. More...

template<typename OP , size_t Halo_T, size_t Halo_L, size_t Halo_B, size_t Halo_R, typename RHS >
auto	neighbour_operation (RHS rhs) -> internal::StnNoFilt< internal::LocalUnaryOp< OP, typename RHS::OutType >, Halo_T, Halo_L, Halo_B, Halo_R, RHS, RHS::Type::Cols, RHS::Type::Rows, RHS::Type::LeafType, 1+RHS::Level >
	template deduction for StnNoFilt class when the memory type of the output and column and row are automatically deduced from the input. More...

template<typename OP , size_t Cols, size_t Rows, size_t LeafType, typename LHS , typename RHS >
auto	neighbour_operation (LHS lhs, RHS rhs) -> internal::StnFilt< internal::LocalBinaryOp< OP, typename LHS::OutType, typename RHS::OutType >, RHS::Type::Rows/2, RHS::Type::Cols/2, RHS::Type::Rows/2, RHS::Type::Cols/2, LHS, RHS, Cols, Rows, LeafType, 1+internal::tools::StaticIf<(LHS::Level > RHS::Level), LHS, RHS >::Type::Level >
	template deduction for StnFilt class when the memory types of the output and column and row are defined by a user. More...

template<typename OP , typename LHS , typename RHS >
auto	neighbour_operation (LHS lhs, RHS rhs) -> internal::StnFilt< internal::LocalBinaryOp< OP, typename LHS::OutType, typename RHS::OutType >, RHS::Type::Rows/2, RHS::Type::Cols/2, RHS::Type::Rows/2, RHS::Type::Cols/2, LHS, RHS, LHS::Type::Cols, LHS::Type::Rows, LHS::Type::LeafType, 1+internal::tools::StaticIf<(LHS::Level > RHS::Level), LHS, RHS >::Type::Level >
	template deduction for StnFilt class when the memory type of the output and column and row are automatically deduced from the input. More...

template<typename OP , size_t Halo_T, size_t Halo_L, size_t Halo_B, size_t Halo_R, size_t Cols, size_t Rows, size_t LeafType, typename LHS , typename RHS >
auto	neighbour_operation (LHS lhs, RHS rhs) -> internal::StnFilt< internal::LocalBinaryOp< OP, typename LHS::OutType, typename RHS::OutType >, Halo_T, Halo_L, Halo_B, Halo_R, LHS, RHS, Cols, Rows, LeafType, 1+internal::tools::StaticIf<(LHS::Level > RHS::Level), LHS, RHS >::Type::Level >
	template deduction for StnFilt class when the memory type of the output; halos; and column and row are defined by a user. More...

template<typename OP , size_t Halo_T, size_t Halo_L, size_t Halo_B, size_t Halo_R, typename LHS , typename RHS >
auto	neighbour_operation (LHS lhs, RHS rhs) -> internal::StnFilt< internal::LocalBinaryOp< OP, typename LHS::OutType, typename RHS::OutType >, Halo_T, Halo_L, Halo_B, Halo_R, LHS, RHS, LHS::Type::Cols, LHS::Type::Rows, LHS::Type::LeafType, 1+internal::tools::StaticIf<(LHS::Level > RHS::Level), LHS, RHS >::Type::Level >
	template deduction for StnFilt class when the memory type of the output and column and row are automatically deduced from the input. More...

template<typename LHS , typename RHS >
auto	assign (LHS lhs, RHS rhs) -> internal::Assign< LHS, RHS, LHS::Type::Cols, LHS::Type::Rows, LHS::Type::LeafType, 1+internal::tools::StaticIf<(LHS::Level > RHS::Level), LHS, RHS >::Type::Level >
	assign function More...

template<typename ElemTp , size_t Cols, size_t Rows, size_t MemoryType, size_t Sc = scope::Global>
auto	terminal (typename internal::MemoryProperties< ElemTp >::ChannelType *dt) -> internal::LeafNode< internal::VisionMemory< true, internal::MemoryProperties< ElemTp >::ElementCategory, MemoryType, typename internal::MemoryProperties< ElemTp >::ChannelType, Cols, Rows, ElemTp, internal::MemoryProperties< ElemTp >::ChannelSize, Sc, 0 >, 0 >
	template deduction of LeafNode for buffer/image/host 2d where the element_category is Struct More...

template<typename ElemTp , size_t Cols, size_t Rows, size_t MemoryType, size_t Sc = scope::Global>
auto	terminal () -> internal::LeafNode< internal::VisionMemory< false, internal::MemoryProperties< ElemTp >::ElementCategory, MemoryType, typename internal::MemoryProperties< ElemTp >::ChannelType, Cols, Rows, ElemTp, internal::MemoryProperties< ElemTp >::ChannelSize, Sc, 0 >, 0 >
	creation of the device only memory when the type is struct More...

template<typename ElemTp , size_t LeafType>
auto	terminal (typename internal::MemoryProperties< ElemTp >::ChannelType dt) -> internal::LeafNode< internal::VisionMemory< true, internal::MemoryProperties< ElemTp >::ElementCategory, LeafType, typename internal::MemoryProperties< ElemTp >::ChannelType, 1, 1, ElemTp, internal::MemoryProperties< ElemTp >::ChannelSize, scope::Global, 0 >, 0 >
	template deduction of LeafNode where the memory_type is a constant variable and element_category is Struct More...

template<size_t Cols, size_t Rows, size_t OffsetColIn, size_t OffsetRowIn, size_t OffsetColOut, size_t OffsetRowOut, typename LHS , typename RHS >
auto	partial_assign (LHS lhs, RHS rhs) -> internal::ParallelCopy< LHS, RHS, Cols, Rows, OffsetColIn, OffsetRowIn, OffsetColOut, OffsetRowOut, LHS::LeafType, 1+internal::tools::StaticIf<(LHS::Level > RHS::Level), LHS, RHS >::Type::Level >
	partial_assign function More...

template<typename OP , typename LHS , typename RHS >
auto	point_operation (LHS lhs, RHS rhs) -> internal::RBiOP< internal::PixelBinaryOp< OP, typename LHS::OutType, typename RHS::OutType >, LHS, RHS, internal::InheritTypeBinary< LHS, RHS >::Type::Cols, internal::InheritTypeBinary< LHS, RHS >::Type::Rows, internal::InheritTypeBinary< LHS, RHS >::Type::LeafType, 1+internal::tools::StaticIf<(LHS::Level > RHS::Level), LHS, RHS >::Type::Level >
	template deduction for RBiOP struct where the Column, Row, and memory_type of the output has been automatically deduced from LHS and RHS operands More...

template<typename OP , size_t Cols, size_t Rows, size_t LeafType, typename RHS >
internal::RUnOP< internal::PixelUnaryOp< OP, typename RHS::OutType >, RHS, Cols, Rows, LeafType, 1+RHS::Level >	point_operation (RHS rhs)
	template deduction for RUnOP struct where user determines the Column, Row, and memory_type of the output. More...

template<typename OP , typename RHS >
auto	point_operation (RHS rhs) -> internal::RUnOP< internal::PixelUnaryOp< OP, typename RHS::OutType >, RHS, RHS::Type::Cols, RHS::Type::Rows, RHS::Type::LeafType, 1+RHS::Level >
	template deduction for RUnOP struct where the Column, Row, and memory_type of the output has been automatically deduced from LHS and RHS operands More...

template<typename OP , size_t Cols, size_t Rows, size_t LeafType, size_t Sc, typename ElementTp , typename Scalar >
internal::RUnOP< internal::PixelUnaryOp< OP, ElementTp >, internal::VisionMemory< true, Sc, LeafType, Scalar, 1, 1, ElementTp, 1, scope::Global, 0 >, Cols, Rows, LeafType, 1 >	broadcast_value (internal::VisionMemory< true, Sc, LeafType, Scalar, 1, 1, ElementTp, 1, scope::Global, 0 > rhs)
	template deduction for RUnOP when it is used to broadcast one const value to all the channels of its parent node. More...

template<backend BK, device DV>
internal::Device_< BK, DV >	make_device ()
	template deduction function for Device_ class More...

template<bool ExecPolicy, typename Expr , typename DeviceT >
void	execute (Expr &, DeviceT &)

template<size_t plcType, size_t LWV, size_t LHV, size_t LCTV, size_t LRTV, typename Type >
auto	schedule (Type dt) -> decltype(internal::LeafNode< internal::VirtualMemory< plcType, Type, LWV, LHV, LCTV, LRTV >, Type::Level >(dt))
	brief function schedule is a template deduction function for VirtualMemory when the local memory and workgroup size is defined by a user. More...

template<size_t plcType, typename Type >
auto	schedule (Type dt) -> decltype(internal::LeafNode< internal::VirtualMemory< plcType, Type >, Type::Level >(dt))
	brief function schedule is a template deduction function for VirtualMemory when the local memory and workgroup size is default More...

Detailed Description

VisionCpp namespace.

Enumeration Type Documentation

◆ backend

enum visioncpp::backend

strong

Enumerator
sycl	represents sycl backend.
size	number of backends.

Definition at line 54 of file forward_declarations.hpp.

◆ device

enum visioncpp::device

strong

Enumerator
cpu	represents the cpu device.
gpu	represents the gpu device.
host	represents the host device.
size	number of devices

Definition at line 63 of file forward_declarations.hpp.

Function Documentation

◆ assign()

template<typename LHS , typename RHS >

auto visioncpp::assign	(	LHS	lhs,
		RHS	rhs
	)		-> internal::Assign<LHS, RHS, LHS::Type::Cols, LHS::Type::Rows, LHS::Type::LeafType, 1 + internal::tools::StaticIf<(LHS::Level > RHS::Level), LHS, RHS>::Type::Level>

assign function

This function is used to deduce the Assign struct.

Definition at line 112 of file assign.hpp.

◆ broadcast_value()

template<typename OP , size_t Cols, size_t Rows, size_t LeafType, size_t Sc, typename ElementTp , typename Scalar >

internal::RUnOP<internal::PixelUnaryOp<OP, ElementTp>, internal::VisionMemory<true, Sc, LeafType, Scalar, 1, 1, ElementTp, 1, scope::Global, 0>, Cols, Rows, LeafType, 1> visioncpp::broadcast_value ( internal::VisionMemory< true, Sc, LeafType, Scalar, 1, 1, ElementTp, 1, scope::Global, 0 > rhs )

template deduction for RUnOP when it is used to broadcast one const value to all the channels of its parent node.

Definition at line 141 of file resizable_unary.hpp.

References visioncpp::scope::Global.

◆ execute() [1/3]

template<bool ExecPolicy, typename Expr , typename DeviceT >

void visioncpp::execute	(	Expr &	,
		DeviceT &
	)

◆ execute() [2/3]

template<bool ExecPolicy, size_t LC, size_t LR, size_t LCT, size_t LRT, typename Expr , typename DeviceT >

void visioncpp::execute	(	Expr &	expr,
		const DeviceT &	dev
	)

inline

execute function is called by user in order to execute an expression template parameters:

Template Parameters

ExecPolicy	determining which policy to be used for executing an expression. this can be Fuse or NoFuse
LC	the column size for local memory when needed
LR	the row size for column memory when needed
LCT	the size of the workgroup column.
LRT	the size of the workgroup row.
Expr	the expression type to be executed. function parameters:

Parameters

expr	the expression to be executed
dev	the selected device for executing the expression

Returns: void

Definition at line 155 of file executor.hpp.

Referenced by execute().

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◆ execute() [3/3]

template<bool ExecPolicy, typename Expr , typename DeviceT >

void visioncpp::execute	(	Expr &	expr,
		const DeviceT &	dev
	)

inline

special case of the execute function with default value for local memory and workgroup size template parameters:

Template Parameters

ExecPolicy	determining which policy to be used for executing an expression. this can be Fuse or NoFuse
Expr	the expression type to be executed. function parameters:

Parameters

expr	the expression to be executed
dev	: the selected device for executing the expression

Returns: void

Definition at line 171 of file executor.hpp.

References execute().

Referenced by visioncpp::internal::SubExprExecute< false, ExecPolicy, LC, LR, LCT, LRT, Expr, DeviceT >::execute().

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◆ extract_accessors()

template<typename Expr >

auto visioncpp::extract_accessors	(	cl::sycl::handler &	cgh,
		Expr	e
	)		-> decltype( internal::ExtractAccessor<Expr::ND_Category, Expr>::getTuple(cgh, e))

Definition at line 157 of file extract_accessors.hpp.

Referenced by visioncpp::internal::Device_< backend::sycl, dv >::execute().

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◆ global_operation()

template<typename OP , size_t Cols, size_t Rows, size_t LeafType, typename RHS >

auto visioncpp::global_operation ( RHS rhs ) -> internal::RDCN<internal::GlobalUnaryOp<OP, typename RHS::OutType>, RHS, Cols, Rows, LeafType, 1 + RHS::Level>

template deduction function for RDCN when it is used for GlobalNeighbourOP.

Definition at line 124 of file reduction.hpp.

◆ make_device()

template<backend BK, device DV>

internal::Device_<BK, DV> visioncpp::make_device ( )

template deduction function for Device_ class

Template Parameters

BK	is used to determine the backend
DV	is used to determine the selected device for that backend

Returns: Device_

Definition at line 90 of file forward_declarations.hpp.

◆ neighbour_operation() [1/6]

template<typename OP , size_t Halo_T, size_t Halo_L, size_t Halo_B, size_t Halo_R, size_t Cols, size_t Rows, size_t LeafType, typename LHS , typename RHS >

auto visioncpp::neighbour_operation	(	LHS	lhs,
		RHS	rhs
	)		-> internal::StnFilt< internal::LocalBinaryOp<OP, typename LHS::OutType, typename RHS::OutType>, Halo_T, Halo_L, Halo_B, Halo_R, LHS, RHS, Cols, Rows, LeafType, 1 + internal::tools::StaticIf<(LHS::Level > RHS::Level), LHS, RHS>::Type::Level>

template deduction for StnFilt class when the memory type of the output; halos; and column and row are defined by a user.

Definition at line 175 of file stencil_with_filter.hpp.

◆ neighbour_operation() [2/6]

template<typename OP , size_t Halo_T, size_t Halo_L, size_t Halo_B, size_t Halo_R, typename LHS , typename RHS >

auto visioncpp::neighbour_operation	(	LHS	lhs,
		RHS	rhs
	)		-> internal::StnFilt< internal::LocalBinaryOp<OP, typename LHS::OutType, typename RHS::OutType>, Halo_T, Halo_L, Halo_B, Halo_R, LHS, RHS, LHS::Type::Cols, LHS::Type::Rows, LHS::Type::LeafType, 1 + internal::tools::StaticIf<(LHS::Level > RHS::Level), LHS, RHS>::Type::Level>

template deduction for StnFilt class when the memory type of the output and column and row are automatically deduced from the input.

However, the halos are defined by user.

Definition at line 192 of file stencil_with_filter.hpp.

◆ neighbour_operation() [3/6]

template<typename OP , size_t Cols, size_t Rows, size_t LeafType, typename LHS , typename RHS >

auto visioncpp::neighbour_operation	(	LHS	lhs,
		RHS	rhs
	)		-> internal::StnFilt< internal::LocalBinaryOp<OP, typename LHS::OutType, typename RHS::OutType>, RHS::Type::Rows / 2, RHS::Type::Cols / 2, RHS::Type::Rows / 2, RHS::Type::Cols / 2, LHS, RHS, Cols, Rows, LeafType, 1 + internal::tools::StaticIf<(LHS::Level > RHS::Level), LHS, RHS>::Type::Level>

template deduction for StnFilt class when the memory types of the output and column and row are defined by a user.

Definition at line 137 of file stencil_with_filter.hpp.

◆ neighbour_operation() [4/6]

template<typename OP , typename LHS , typename RHS >

auto visioncpp::neighbour_operation	(	LHS	lhs,
		RHS	rhs
	)		-> internal::StnFilt< internal::LocalBinaryOp<OP, typename LHS::OutType, typename RHS::OutType>, RHS::Type::Rows / 2, RHS::Type::Cols / 2, RHS::Type::Rows / 2, RHS::Type::Cols / 2, LHS, RHS, LHS::Type::Cols, LHS::Type::Rows, LHS::Type::LeafType, 1 + internal::tools::StaticIf<(LHS::Level > RHS::Level), LHS, RHS>::Type::Level>

template deduction for StnFilt class when the memory type of the output and column and row are automatically deduced from the input.

Definition at line 154 of file stencil_with_filter.hpp.

◆ neighbour_operation() [5/6]

template<typename OP , size_t Cols, size_t Rows, size_t LeafType, typename RHS >

auto visioncpp::neighbour_operation ( RHS rhs ) -> internal::RDCN<internal::LocalUnaryOp<OP, typename RHS::OutType>, RHS, Cols, Rows, LeafType, 1 + RHS::Level>

template deduction function for RDCN when it is used for NeighbourOP.

Definition at line 133 of file reduction.hpp.

◆ neighbour_operation() [6/6]

template<typename OP , size_t Halo_T, size_t Halo_L, size_t Halo_B, size_t Halo_R, typename RHS >

auto visioncpp::neighbour_operation ( RHS rhs ) -> internal::StnNoFilt<internal::LocalUnaryOp<OP, typename RHS::OutType>, Halo_T, Halo_L, Halo_B, Halo_R, RHS, RHS::Type::Cols, RHS::Type::Rows, RHS::Type::LeafType, 1 + RHS::Level>

template deduction for StnNoFilt class when the memory type of the output and column and row are automatically deduced from the input.

Definition at line 140 of file stencil_no_filter.hpp.

◆ partial_assign()

template<size_t Cols, size_t Rows, size_t OffsetColIn, size_t OffsetRowIn, size_t OffsetColOut, size_t OffsetRowOut, typename LHS , typename RHS >

auto visioncpp::partial_assign	(	LHS	lhs,
		RHS	rhs
	)		-> internal::ParallelCopy< LHS, RHS, Cols, Rows, OffsetColIn, OffsetRowIn, OffsetColOut, OffsetRowOut, LHS::LeafType, 1 + internal::tools::StaticIf<(LHS::Level > RHS::Level), LHS, RHS>::Type::Level>

partial_assign function

This function is used to deduce the ParallelCopy struct.

Definition at line 150 of file parallel_copy.hpp.

◆ point_operation() [1/3]

template<typename OP , typename LHS , typename RHS >

auto visioncpp::point_operation	(	LHS	lhs,
		RHS	rhs
	)		-> internal::RBiOP< internal::PixelBinaryOp<OP, typename LHS::OutType, typename RHS::OutType>, LHS, RHS, internal::InheritTypeBinary<LHS, RHS>::Type::Cols, internal::InheritTypeBinary<LHS, RHS>::Type::Rows, internal::InheritTypeBinary<LHS, RHS>::Type::LeafType, 1 + internal::tools::StaticIf<(LHS::Level > RHS::Level), LHS, RHS>::Type::Level>

template deduction for RBiOP struct where the Column, Row, and memory_type of the output has been automatically deduced from LHS and RHS operands

Definition at line 191 of file resizable_binary.hpp.

◆ point_operation() [2/3]

template<typename OP , size_t Cols, size_t Rows, size_t LeafType, typename RHS >

internal::RUnOP<internal::PixelUnaryOp<OP, typename RHS::OutType>, RHS, Cols, Rows, LeafType, 1 + RHS::Level> visioncpp::point_operation ( RHS rhs )

template deduction for RUnOP struct where user determines the Column, Row, and memory_type of the output.

Definition at line 115 of file resizable_unary.hpp.

◆ point_operation() [3/3]

template<typename OP , typename RHS >

auto visioncpp::point_operation ( RHS rhs ) -> internal::RUnOP<internal::PixelUnaryOp<OP, typename RHS::OutType>, RHS, RHS::Type::Cols, RHS::Type::Rows, RHS::Type::LeafType, 1 + RHS::Level>

template deduction for RUnOP struct where the Column, Row, and memory_type of the output has been automatically deduced from LHS and RHS operands

Definition at line 124 of file resizable_unary.hpp.

◆ pyramid_down() [1/2]

template<typename Fltr2DOP , typename DownSmplOP , size_t Depth, typename RHS , typename Fltr2D >

auto visioncpp::pyramid_down	(	RHS	rhs,
		Fltr2D	fltr2D
	)		-> internal::PyramidAutomemGen< internal::LocalBinaryOp<Fltr2DOP, typename RHS::OutType, typename Fltr2D::OutType>, internal::LocalUnaryOp<DownSmplOP, typename RHS::OutType>, RHS, Fltr2D, RHS::Type::Cols, RHS::Type::Rows, RHS::Type::LeafType, 1 + internal::tools::StaticIf<(RHS::Level > Fltr2D::Level), RHS, Fltr2D>::Type::Level, Depth>

pyramid_auto_generate

template deduction for PyramidAutomemGen

Definition at line 228 of file pyramid_with_auto_mem_gen.hpp.

◆ pyramid_down() [2/2]

template<typename COP_C , typename COP_R , typename ROP , size_t Depth, typename RHS , typename SepFilterCol , typename SepFilterRow , typename... Params>

auto visioncpp::pyramid_down	(	RHS	rhs,
		SepFilterCol	spFltrCol,
		SepFilterRow	spFltrRow
	)		-> internal::PyramidAutomemSep< internal::LocalBinaryOp<COP_C, typename RHS::OutType, typename SepFilterCol::OutType>, internal::LocalBinaryOp<COP_R, typename RHS::OutType, typename SepFilterRow::OutType>, internal::LocalUnaryOp<ROP, typename RHS::OutType>, RHS, SepFilterCol, SepFilterRow, RHS::Type::Cols, RHS::Type::Rows, RHS::Type::LeafType, 1 + RHS::Level, Depth>

pyramid_auto_generate

template deduction for PyramidAutomemGenSep

Definition at line 253 of file pyramid_with_auto_mem_sep.hpp.

◆ schedule() [1/2]

template<size_t plcType, typename Type >

auto visioncpp::schedule ( Type dt ) -> decltype(internal::LeafNode<internal::VirtualMemory<plcType, Type>, Type::Level>(dt))

brief function schedule is a template deduction function for VirtualMemory when the local memory and workgroup size is default

Definition at line 122 of file mem_virtual.hpp.

◆ schedule() [2/2]

template<size_t plcType, size_t LWV, size_t LHV, size_t LCTV, size_t LRTV, typename Type >

auto visioncpp::schedule ( Type dt ) -> decltype(internal::LeafNode< internal::VirtualMemory<plcType, Type, LWV, LHV, LCTV, LRTV>, Type::Level>( dt))

brief function schedule is a template deduction function for VirtualMemory when the local memory and workgroup size is defined by a user.

Definition at line 111 of file mem_virtual.hpp.

◆ terminal() [1/3]

template<typename ElemTp , size_t Cols, size_t Rows, size_t MemoryType, size_t Sc = scope::Global>

auto visioncpp::terminal ( ) -> internal::LeafNode< internal::VisionMemory< false, internal::MemoryProperties<ElemTp>::ElementCategory, MemoryType, typename internal::MemoryProperties<ElemTp>::ChannelType, Cols, Rows, ElemTp, internal::MemoryProperties<ElemTp>::ChannelSize, Sc, 0>, 0>

creation of the device only memory when the type is struct

Definition at line 150 of file leaf_node.hpp.

◆ terminal() [2/3]

template<typename ElemTp , size_t Cols, size_t Rows, size_t MemoryType, size_t Sc = scope::Global>

auto visioncpp::terminal ( typename internal::MemoryProperties< ElemTp >::ChannelType * dt ) -> internal::LeafNode< internal::VisionMemory< true, internal::MemoryProperties<ElemTp>::ElementCategory, MemoryType, typename internal::MemoryProperties<ElemTp>::ChannelType, Cols, Rows, ElemTp, internal::MemoryProperties<ElemTp>::ChannelSize, Sc, 0>, 0>

template deduction of LeafNode for buffer/image/host 2d where the element_category is Struct

Definition at line 126 of file leaf_node.hpp.

◆ terminal() [3/3]

template<typename ElemTp , size_t LeafType>

auto visioncpp::terminal ( typename internal::MemoryProperties< ElemTp >::ChannelType dt ) -> internal::LeafNode< internal::VisionMemory< true, internal::MemoryProperties<ElemTp>::ElementCategory, LeafType, typename internal::MemoryProperties<ElemTp>::ChannelType, 1, 1, ElemTp, internal::MemoryProperties<ElemTp>::ChannelSize, scope::Global, 0>, 0>

template deduction of LeafNode where the memory_type is a constant variable and element_category is Struct

Definition at line 171 of file leaf_node.hpp.

References visioncpp::scope::Global.

Namespaces

Classes

Enumerations

Functions

Detailed Description

Enumeration Type Documentation

◆ backend

◆ device

Function Documentation

◆ assign()

◆ broadcast_value()

◆ execute() [1/3]

◆ execute() [2/3]

◆ execute() [3/3]

◆ extract_accessors()

◆ global_operation()

◆ make_device()

◆ neighbour_operation() [1/6]

◆ neighbour_operation() [2/6]

◆ neighbour_operation() [3/6]

◆ neighbour_operation() [4/6]

◆ neighbour_operation() [5/6]

◆ neighbour_operation() [6/6]

◆ partial_assign()

◆ point_operation() [1/3]

◆ point_operation() [2/3]

◆ point_operation() [3/3]

◆ pyramid_down() [1/2]

◆ pyramid_down() [2/2]

◆ schedule() [1/2]

◆ schedule() [2/2]

◆ terminal() [1/3]

◆ terminal() [2/3]

◆ terminal() [3/3]